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$194.7K

$254K

How much do director data engineering jobs pay per year?

As of Jul 5, 2026, the average yearly pay for director data engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive in the Director Data Engineering position, and why are they important?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

More about Director Data Engineering jobs
What cities are hiring for Director Data Engineering jobs? Cities with the most Director Data Engineering job openings:
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Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Director, Data Engineering

Starcom Mediavest Group Germany Gmbh

Chicago, IL • On-site

$112K - $161K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Company Description
PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.
Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.
Job Description
Responsible for developing and supporting data products, this resource plays a critical role in the development of data warehouse/data lake solutions utilized by internal and external stakeholders. Design and develop warehouse solutions built on the Azure and AWS technology stacks. These solutions include ETL, data modeling, data architecture, data quality assessment and data delivery.
Responsibilities
  • Design and implement scalable data architecture across cloud platforms (e.g., Snowflake, Databricks)
  • Define enterprise data models, schemas, and standards to support analytics, reporting, and AI/ML use cases
  • Architect end-to-end data pipelines for ingestion, transformation, and delivery of structured and unstructured data
  • Oversee development and optimization of ETL/ELT processes using SQL, Python, and Spark
  • Drive performance tuning across queries, pipelines, and storage to improve scalability and efficiency
  • Establish best practices for database design, indexing, and query optimization
  • Define and enforce data governance standards, including data quality, lineage, metadata, and access control
  • Ensure data integrity, consistency, and compliance with security and privacy requirements
  • Design and support scalable data products and reusable data assets aligned to business and client needs
  • Partner with BI teams to enable reporting and dashboarding solutions (e.g., Tableau, Datorama)
  • Support AI and advanced analytics initiatives through well-structured, accessible data
  • Partner with cross-functional teams to translate business requirements into technical solutions
  • Provide architectural guidance and mentorship to data engineers and analysts
  • Act as a key stakeholder in resolving complex data challenges and recommending improvements to the data ecosystem
  • Establish monitoring and performance standards for data pipelines and platforms
  • Ensure reliability of data processes, including handling failures and optimizing long-running jobs
  • Define SLAs and operational best practices for data availability and performance
  • Tools:
    • Data Platforms: Snowflake, Databricks
    • Languages: SQL, Python, Spark (PySpark), Java
    • ETL / Integration: SSIS, APIs
    • BI & Analytics: Tableau, Power BI, Datorama (MCI)
    • Cloud: AWS, Azure

Qualifications
  • BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred
  • Minimum of 5+ years of experience developing large scale complex database solutions
  • Demonstrated experience with BI database design
  • Ability to track and resolve database related incidents as well as requests
  • Strong understanding of database structures, theories, principles, and practices
  • Strong understanding of ETL and data warehouse principles
  • Good interpersonal, written and oral communication skills
  • Technical documentation skills
  • Ability to present complex ideas in user-friendly language
  • Self-motivated and directed, with keen attention to detail
  • Able to prioritize and execute tasks in a team-oriented, high-pressure environment

Specific Skills Required:
  • Minimum 6 years SQL, ETL and analyzing datasets experience
  • Strong data warehouse knowledge
  • Experience with JSON, XML, ORC,AVRO and Parquet file formats
  • Experience with large data sets
  • Java, C# or R experience a plus
  • Experience with REST API calls
  • Experience with Web and Digital marketing data a plus

Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/20/2026.

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